TEXTURE CLASSIFICATIONBY LOCAL BINARY PATTERN& COMPLETED LOCAL BINARY PATTERN

Authors

  • Mrs. A. A. Chavan M.E. Scholar, Ashokrao Mane Group of Institutions, Vathar, Kolhapur, India- 416112
  • Asst.Prof. Mrs.S.S. Patil Asst. Professor at Ashokrao Mane Group of Institutions, Vathar, Kolhapur, India- 416112

Keywords:

Texture descriptors, local binary pattern (LBP), feature extraction, texture classification

Abstract

Texture analysis is important in many applications of computer image analysis for classification or segmentation of images based on local spatial variations of intensity or color.The proposed analysis of texture classification characteristics with local binary pattern (LBP) and an associated completed LBP (CLBP).A successful classification or segmentation requires an efficient description of image texture. In this system, image features of database images will be extracted using LBP & CLBP descriptor. These extracted features in the form of histogram will be given to SVM classifier and depending on no. of accurately classified images; results will be shown in graph.

References

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Additional Files

Published

15-02-2017

How to Cite

Mrs. A. A. Chavan, & Asst.Prof. Mrs.S.S. Patil. (2017). TEXTURE CLASSIFICATIONBY LOCAL BINARY PATTERN& COMPLETED LOCAL BINARY PATTERN. International Education and Research Journal (IERJ), 3(2). Retrieved from http://ierj.in/journal/index.php/ierj/article/view/666

Issue

Vol. 3 No. 2 (2017): FEBRUARY ISSUE, INTERNATIONAL EDUCATION AND RESEARCH JOURNAL

Section

Articles

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